Optimization of Soft Morphological Filter based on Tabu Search

Soft morphological filtering is an important nonlinear filtering method, especially in the field of digital image processing is widely applied. The operation of soft morphological filter can be divided into two basic problems that include morphological operation and structuring system (SS) selection. The rules for morphological operations are predefined so the filter´s properties depend merely on the selection of SS. The paper optimizes structuring system of soft morphological filter based on tabu search algorithm. By the means of optimizing training, structuring system possesses the shape and structural characteristics of images; the compositions of hard center, soft boundary and repetition parameter are automatically adjusted. A soft morphological filter that provides good filtering result to images with complex noise can be realized. The simulation experiments show that optimized soft morphological filters are highly improved